Journal: JMIR Human Factors

Article Title: A Participatory Design Approach to Develop Visualization of Wearable Actigraphy Data for Health Care Professionals: Case Study in Qatar

doi: 10.2196/25880

Figure Lengend Snippet: Usability problems identified in Fitbit and ActiVis dashboards.

Article Snippet: We only evaluated use case 1 specific to nurses and already identified some major and catastrophic problems, with severe ratings being more frequent with Fitbit than with ActiVis.

Techniques:

Journal: JMIR mHealth and uHealth

Article Title: Evaluating Motivational Interviewing and Habit Formation to Enhance the Effect of Activity Trackers on Healthy Adults’ Activity Levels: Randomized Intervention

doi: 10.2196/10988

Figure Lengend Snippet: Wear data and steps collected from the Fitbit via Fitabase during the 12-week intervention. FB+: Fitbit plus motivational interviewing and habit education; FB: Fitbit alone.

Article Snippet: Results from the correlation analyses, shown in , demonstrated that habits surrounding the Fitbit were predictive of actual Fitbit wear and steps/day during the intervention (data from Fitabase).

Techniques:

Journal: JMIR mHealth and uHealth

Article Title: Evaluating Motivational Interviewing and Habit Formation to Enhance the Effect of Activity Trackers on Healthy Adults’ Activity Levels: Randomized Intervention

doi: 10.2196/10988

Figure Lengend Snippet: Fitbit wear time in relation to habit automaticity over the intervention period by the group (FB+, FB). High versus low habit was defined using a median split of the data. FB+: Fitbit with motivational interviewing; FB: Fitbit alone.

Article Snippet: Results from the correlation analyses, shown in , demonstrated that habits surrounding the Fitbit were predictive of actual Fitbit wear and steps/day during the intervention (data from Fitabase).

Techniques:

Journal: JMIR mHealth and uHealth

Article Title: Evaluating Motivational Interviewing and Habit Formation to Enhance the Effect of Activity Trackers on Healthy Adults’ Activity Levels: Randomized Intervention

doi: 10.2196/10988

Figure Lengend Snippet: The correlation matrix showing relationships among habits associated with wear and use of Fitbits, objectively measured Fitbit wear and steps during the intervention (data collected from Fitbits via Fitabase), and primary outcomes for active and sedentary behaviors (data collected via ActiGraph and activPAL monitors).

Article Snippet: Results from the correlation analyses, shown in , demonstrated that habits surrounding the Fitbit were predictive of actual Fitbit wear and steps/day during the intervention (data from Fitabase).

Techniques:

Journal: Supportive Care in Cancer

Article Title: Promoting physical activity among cancer survivors: an umbrella review of systematic reviews

doi: 10.1007/s00520-023-07760-0

Figure Lengend Snippet: Main results and conclusions of the included literature

Article Snippet: Blount et al. 2021 [ ] , • Eight studies of the positive relationships observed were statistically significant • Six studies which utilized multi-component interventions generally yielded more significant results , Most studies were a 12-week trial. The Fitbit One, Polar A360/M400, activPAL, and Garmin Vivofit smartwatches were most popular as an intervention component. increased moderate-to-vigorous intensity physical activity was observed to be associated with increased perceived cognition and higher cognitive performance. Wearable health technology-based physical activity interventions to be effective for improving physical activity, attitude, and cognitive functions and for reducing sedentary behavior, anxiety, and worry in BCS , 1b.

Techniques: Activity Assay, Comparison, Control, Construct, Derivative Assay

Journal: BMC Public Health

Article Title: Validating Fitbit Zip for monitoring physical activity of children in school: a cross-sectional study

doi: 10.1186/s12889-018-5752-7

Figure Lengend Snippet: Mean (SD), correlations and Bland-Altman output for Fitbit Zip and ActiGraph in school segments

Article Snippet: According to Bland-Altman analyses the Fitbit Zip overestimated both the number of steps (bias: 464 (− 446–1374) steps) and sedentary time (bias: 13.1 (− 21.0–47.1) minutes) and underestimated MVPA minutes (bias: − 1.5 (− 20.2–17.3) minutes) compared to the ActiGraph accelerometer.

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Journal: JMIR mHealth and uHealth

Article Title: Validity Evaluation of the Fitbit Charge2 and the Garmin vivosmart HR+ in Free-Living Environments in an Older Adult Cohort

doi: 10.2196/13084

Figure Lengend Snippet: Mean values measured, mean error, mean percentagage error, and mean absolute percentage error with related standard deviation for each parameter and tracker (N=20).

Article Snippet: Between the Fitbit and the Garmin, the Fitbit was moderately correlated with the ActiGraph worn on the wrist, and only for the estimation of the sleeping time.

Techniques: Standard Deviation

Journal: JMIR mHealth and uHealth

Article Title: Validity Evaluation of the Fitbit Charge2 and the Garmin vivosmart HR+ in Free-Living Environments in an Older Adult Cohort

doi: 10.2196/13084

Figure Lengend Snippet: Intraclass correlation (ICC) and 95% CI for each parameter and tracker (N=20).

Article Snippet: Between the Fitbit and the Garmin, the Fitbit was moderately correlated with the ActiGraph worn on the wrist, and only for the estimation of the sleeping time.

Techniques:

Journal: JMIR mHealth and uHealth

Article Title: Validity Evaluation of the Fitbit Charge2 and the Garmin vivosmart HR+ in Free-Living Environments in an Older Adult Cohort

doi: 10.2196/13084

Figure Lengend Snippet: Bland-Altman plots summary for each parameter and tracker (N=20).

Article Snippet: Between the Fitbit and the Garmin, the Fitbit was moderately correlated with the ActiGraph worn on the wrist, and only for the estimation of the sleeping time.

Techniques: